LobeHub vs Open WebUI

LobeHub

Agents

Open WebUI

Agents

Tagline

LobeHub

Open-source AI agent platform and chat UI supporting every major LLM, plugins, and multi-agent workflows.

Open WebUI

Self-hosted, extensible AI chat platform that runs on your infrastructure

Pricing

LobeHub

Freemium· Free tier · from $12.9/mo

Open WebUI

Freemium· Free (self-hosted, MIT-style community license via pip/Docker) / Enterprise: custom pricing for SSO, RBAC, audit logs, air-gapped deployment, data-residency guarantees

Lowest paid tier

LobeHub

$12.9 · Starter

captured 2026-10-28

Open WebUI

—

Free trial

LobeHub

Yes

Open WebUI

Yes

API

LobeHub

Yes

Open WebUI

Yes

Open source

LobeHub

Yes

Open WebUI

Yes

Hacker News stories

LobeHub

1

checked 2026-10-15

Open WebUI

3

checked 2026-10-18

Earliest Wayback capture

LobeHub

2024-02-28

earliest archived capture of the site, not a launch date

Open WebUI

2024-02-17

earliest archived capture of the site, not a launch date

Model used

LobeHub

OpenAI GPT-4o/o1, Anthropic Claude 3.5/4, Google Gemini, DeepSeek, Mistral, Ollama, and 40+ other providers (bring-your-own-key)

Open WebUI

Backend-agnostic: any Ollama, llama.cpp, vLLM, or OpenAI-compatible API (OpenAI GPT, Anthropic Claude, Llama 3.x, Qwen, Mistral, Gemma, etc.)

Best for

LobeHub

Developers, indie hackers and small teams who want a self-hosted, multi-provider ChatGPT alternative with plugins, agents and MCP support they can extend and keep on their own infrastructure.

Open WebUI

Developers, home-lab tinkerers, and privacy- or compliance-driven teams who want a polished, ChatGPT-style multi-user front end pointed at their own local or hosted LLMs.

Not for

LobeHub

Non-technical users who just want a ready-made subscription chatbot with no keys or setup, or enterprises needing SOC2-grade managed hosting with strict SLAs.

Open WebUI

Non-technical individuals who just want a hosted chatbot, or teams that need a fully managed SaaS with SLAs and zero infrastructure work.

Editorial score

LobeHub

—

Open WebUI

—

Use cases

LobeHub

Self-hosted ChatGPT alternativeMulti-provider LLM comparisonCustom agent and persona marketplaceMCP plugin host and tool routerTeam knowledge assistant with shared memoryVoice and vision conversational UILocal Ollama chat frontendScheduled agent workflowsPrompt engineering workbench

Open WebUI

Self-hosted ChatGPT alternative for a teamPrivate RAG chatbot over internal documentsUnified gateway across multiple LLM providersAir-gapped LLM chat for regulated industriesOllama front end for local Llama or Qwen modelsCustom Python tools and function callingPrompt library and workspace sharingVoice and vision chat on local modelsModel access control and usage auditingHome-lab AI assistant on a single GPU box

Pros

LobeHub

• Truly model-agnostic: 40+ providers including local Ollama, so you can compare GPT, Claude, Gemini and open models in one UI
• Fully open source (LobeHub Community License) with 80k+ GitHub stars and an active release cadence
• One-click self-hosting on Vercel, Docker, or your own Postgres, keeping conversation data under your control
• Rich plugin and MCP ecosystem with 10k+ tools for web search, code execution, image gen and file handling
• Agent marketplace with thousands of pre-built prompts and personas you can fork and customize
• Voice conversation, vision, artifact rendering and PWA-quality UI on desktop and mobile
• Team-oriented features (agent groups, shared pages, scheduled runs, structured memory) push it beyond a solo chat client

Open WebUI

• Genuinely self-hostable in minutes with Docker or pip; no account or callback required
• Backend-agnostic: talks to Ollama, llama.cpp, vLLM, OpenAI, Anthropic, Groq, OpenRouter and any OpenAI-compatible API through one UI
• Built-in RAG over uploaded docs, web search, image generation, voice, and function calling
• Python pipelines and tools framework lets you extend the app without forking it
• Multi-user with roles, workspaces, model access controls, and audit-friendly logs
• Very active community with a marketplace of shared prompts, models, tools, and functions
• Enterprise tier adds SSO, RBAC, and air-gapped deployment for regulated environments

Cons

LobeHub

• You bring your own API keys and pay the underlying model bills — no bundled inference on the self-hosted edition
• Setting up authentication, database, S3 storage and provider keys for multi-user self-hosting has a real learning curve
• Agent 'groups' and multi-agent orchestration are newer and less mature than dedicated agent frameworks like LangGraph or CrewAI
• Community License restricts certain commercial/multi-tenant hosting scenarios — not a pure MIT/Apache project
• Cloud tier pricing and quotas change frequently and can be less transparent than the open-source install
• Rapid feature churn occasionally ships regressions between minor versions

Open WebUI

• You are responsible for hosting, updates, GPU/model provisioning, and backups
• Feature velocity is high, so breaking changes and rough edges appear between releases
• RAG and evaluation features are competent but not as deep as purpose-built tools like LangChain, LlamaIndex, or Ragas
• Enterprise pricing is not published and requires a sales conversation
• Multi-tenant performance depends entirely on the model backend you wire in; the UI cannot fix a slow local model

Website

LobeHub

lobehub.com

Open WebUI

openwebui.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.